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Record W2294332356 · doi:10.3109/09273948.2015.1125510

Optical Coherence Tomography-Based Quantification of Photoreceptor Injury and Recovery in Vogt–Koyanagi–Harada Uveitis

2016· article· en· W2294332356 on OpenAlex
Steven S. Bae, Farzin Forooghian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOcular Immunology and Inflammation · 2016
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsOptical coherence tomographyMedicineOphthalmologySerous fluidVogt–Koyanagi–Harada diseaseRetinalRetinaUveitisVisual acuityHigh resolutionTomographyRadiologyPathologyOptics

Abstract

fetched live from OpenAlex

PURPOSE: To determine if the inflammatory composition of subretinal fluid in Vogt-Koyanagi-Harada (VKH) serous retinal detachments is predictive of photoreceptor injury, and to quantify photoreceptor recovery, following resolution of these detachments. METHODS: Optical density (OD) measurements of spectral-domain optical coherence tomography (SD-OCT) scans were used to derive the fibrinous index, a measure of the inflammatory composition of subretinal fluid. In order to assess photoreceptor status, photoreceptor outer segment (PROS) volume was measured from SD-OCT scans. RESULTS: The fibrinous index of subretinal fluid in VKH uveitis was strongly correlated with the PROS volume following resolution of subretinal fluid (r = -0.70, p = 0.006). Following fluid resolution, both PROS volume (p < 0.0001) and visual acuity (p = 0.0015) improved. CONCLUSIONS: The fibrinous index of subretinal fluid during the acute stage of VKH can predict photoreceptor status following resolution of subretinal fluid. PROS volume is a useful measure of photoreceptor recovery in VKH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.231
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it